Software Engineer II, Customer eXperience Impressions (CXI)

Amazon

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Bellevue, WA, USA

$129,300 - $223,600

Machine Learning

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

AI · E-Commerce

Description For Software Engineer II, Customer eXperience Impressions (CXI)

Amazon's Customer eXperience Impressions (CXI) team is seeking a Software Engineer to join their innovative machine learning initiative. This role sits at the intersection of customer experience and supply chain optimization, focusing on developing ML-driven systems that detect and address shopping experience defects in real-time. The position offers an opportunity to work with large-scale data pipelines and recommendation systems while directly impacting customer satisfaction and business outcomes.

The role requires expertise across the full machine learning lifecycle, from feature engineering to model deployment. You'll be working within the Supply Chain Optimization Technology (SCOT) organization, utilizing data from every stage of the customer journey to improve shopping experiences. The position involves close collaboration with Scientists to develop and implement ML models that detect and rank defects based on severity and intervention confidence.

As a Software Engineer in the CXI team, you'll be responsible for building real-time ML pipelines, optimizing inference systems, and developing causal inference frameworks. The role offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including equity and sign-on payments.

This is a highly visible position requiring regular interaction with senior leadership, making it an excellent opportunity for career growth. The ideal candidate will combine strong technical skills with excellent communication abilities, as you'll be actively participating in the Amazon ML community and mentoring other engineers. If you're passionate about using ML to solve real-world problems and want to impact millions of customers' shopping experiences, this role offers the perfect platform to make a significant impact.

Last updated 5 hours ago

Responsibilities For Software Engineer II, Customer eXperience Impressions (CXI)

Develop machine learning-driven decision systems for defect detection
Build real-time ML pipelines for customer experience evaluation
Work with Scientists to develop models for defect detection
Integrate ML models into high-performance distributed systems
Optimize feature stores and build online learning mechanisms
Develop causal inference frameworks
Participate in Amazon ML community and mentor other engineers

Requirements For Software Engineer II, Customer eXperience Impressions (CXI)

Python

Java

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture experience
Experience programming with at least one software programming language
Experience with full software development life cycle
Excellent written and verbal communication skills

Benefits For Software Engineer II, Customer eXperience Impressions (CXI)

Medical Insurance

401k

Equity

Medical benefits
Financial benefits
Competitive base pay
Equity compensation
Sign-on payments

Amazon

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.

Bellevue, WA, USA

$129,300 - $223,600

Machine Learning

Mid-Level Software Engineer

In-Person

5,000+ Employees

3+ years of experience

AI · E-Commerce

Amazon

Lowest Common Ancestor of a Binary Tree

Data Structures & AlgorithmsMedium

Given a binary tree, find the lowest common ancestor (LCA) of two given nodes in the tree. According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes p and q as the lowest node in T that has both p and q as descendants (where we allow a node to be a descendant of itself). For example: If the tree is [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 1, then the expected output is 3, because the LCA of nodes 5 and 1 is 3. If the tree is [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 4, then the expected output is 5, because the LCA of nodes 5 and 4 is 5, since a node can be a descendant of itself according to the LCA definition. If the tree is [1,2], p = 1, q = 2, then the expected output is 1. Consider these constraints: The number of nodes in the tree is in the range [2, 10^5]. -10^9 <= Node.val <= 10^9 All Node.val are unique. p != q p and q will exist in the tree.

Trees

Recursion

Amazon

How would you implement a service like Twitter?

System DesignHard

Let's design a Twitter-like service. Consider the following: Core Functionality: How would you implement the ability for users to post tweets, follow other users, and view a timeline of tweets from the users they follow? Data Model: What database schema would you use to store tweets, user information, and follower relationships? Consider scalability and efficiency for reads and writes. Scalability: How would you handle a large number of users and tweets? Discuss strategies for sharding, caching, and load balancing. Real-time Updates: How would you ensure that users see new tweets in their timeline in near real-time? Consider using technologies like WebSockets or Server-Sent Events. Search: How would you implement a search feature that allows users to find tweets containing specific keywords or hashtags? Think about indexing strategies and search algorithms. Rate Limiting: How would you prevent abuse and ensure fair usage of the service? Describe your approach to rate limiting API requests. Example Scenario: Imagine a user, Alice, follows 1,000 other users, including Bob. Bob posts a tweet. Explain how that tweet would propagate to Alice's timeline, considering potential performance bottlenecks. Technology Stack: What technologies (programming languages, frameworks, databases, etc.) would you choose and why?

Database Problems

Graphs

Arrays

Strings

Amazon

Tell me about yourself

Behavioral

Tell me about yourself. To give you some guidance, please share information beyond just your resume. For example, what are you passionate about, what motivates you, and what are some of your long-term career goals? Think about some significant accomplishments you are proud of and how those experiences have shaped you. What makes you a unique candidate and a good fit for our company, beyond your technical skills? I'm looking for a comprehensive overview of who you are, both professionally and personally.

Interested in this job?

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